Machine Learning Methods

Language: English

Published by Springer, Springer Dez 2024, 2024

9819939194 / 9789819939190

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This item is printed on demand - Print on Demand Titel. Neuware -This book provides a comprehensive and systematic introduction to the principal machine learning methods, covering both supervised and unsupervised learning methods. It discusses essential methods of classification and regression in supervised learning, such as decision trees, perceptrons, support vector machines, maximum entropy models, logistic regression models and multiclass classification, as well as methods applied in supervised learning, like the hidden Markov model and conditional random fields. In the context of unsupervised learning, it examines clustering and other problems as well as methods such as singular value decomposition, principal component analysis and latent semantic analysis. As a fundamental book on machine learning, it addresses the needs of researchers and students who apply machine learning as an important tool in their research, especially those in fields such as information retrieval, natural language processing and text data mining. In order to understand the concepts and methods discussed, readers are expected to have an elementary knowledge of advanced mathematics, linear algebra and probability statistics. The detailed explanations of basic principles, underlying concepts and algorithms enable readers to grasp basic techniques, while the rigorous mathematical derivations and specific examples included offer valuable insights into machine learning.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 548 pp. Englisch.…

Seller Inventory # 9789819939190

Title
Machine Learning Methods
Author
Hang Li
Publisher
Springer, Springer Dez 2024
Publication year
2024
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
9819939194
ISBN 13
9789819939190
Item weight
820 grams
Dimensions
235x155x30 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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AbeBooks seller since January 23, 2017

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